Enter your data for Distribution ID Plot (Arbitrary Censoring)

In This Topic

Enter your data

Complete the following steps to enter your data. For more information on censored data, go to Data censoring.

In Start variables, enter the column that contains the start times. You can enter up to 50 columns (for 50 different samples). The start times in the column depend on how the data are censored.

Observation

Value in Start column

Exact failure time

Failure time

Right censored

Time after which the failure occurred

Left censored

* (missing value symbol)

Interval censored

Time at start of interval during which the failure occurred

In End variables, enter the column that contains the end times. You can enter up to 50 columns (for 50 different samples). The end times in the column depend on how the data are censored.

Observation

Value in End column

Exact failure time

Failure time

Right censored

* (missing value symbol)

Left censored

Time before which the failure occurred

Interval censored

Time at end of interval during which the failure occurred

If you have frequency data for each variable, in Frequency columns (optional), enter a column that indicates the number of units for each failure time or censoring time.

If all the samples are stacked in one column, select By variable and enter a column of grouping indicators. For example, you might enter a column to indicate different locations or a change in design.

In this worksheet, the Start column contains the start times and the End column contains the end times. The Frequency column indicates the number of units that are included in each interval. For example, 20 units are left censored at 10,000 hours. 2 units are exact failures at 30,000 hours. 26 units are interval censored between 30,000 and 40,000 hours. 190 units are right censored at 60,000 hours.

C1

C2

C3

Start

End

Frequency

*

10000

20

10000

20000

10

20000

30000

10

30000

30000

2

30000

40000

26

40000

50000

40

50000

60000

55

60000

*

190

Specify distributions

Specify the distributions to include in the analysis.

Use all distributions: Fit your data with all 11 parametric distributions.